






"""simple docstring"""





def 	lowerCamelCase__			(				_lowerCamelCase			:						Optional[Any]						,							_lowerCamelCase			:						Tuple					) ->							str:
  return (pointa[0] - pointa[0]) ** 2 + (pointa[1] - pointa[1]) ** 2







def 	lowerCamelCase__			(				_lowerCamelCase			:						Any						,							_lowerCamelCase			:						List[Any]=0					) ->							Dict:
  return sorted(_lowerCamelCase						,							key=lambda _lowerCamelCase					: x[column]					)







def 	lowerCamelCase__			(				_lowerCamelCase			:						Union[str, Any]						,							_lowerCamelCase			:						Dict						,							_lowerCamelCase			:						List[Any]=float('inf'					)					) ->							Union[str, Any]:

  for i in range(points_counts - 1					):
    for j in range(i + 1						,							_lowerCamelCase					):
      lowerCamelCase_       	=		euclidean_distance_sqr(points[i]						,							points[j]					)
      if current_dis < min_dis:
        lowerCamelCase_       	=		current_dis
  return min_dis







def 	lowerCamelCase__			(				_lowerCamelCase			:						Optional[int]						,							_lowerCamelCase			:						str						,							_lowerCamelCase			:						int=float('inf'					)					) ->							Union[str, Any]:

  for i in range(min(6						,							points_counts - 1					)						,							_lowerCamelCase					):
    for j in range(max(0						,							i - 6					)						,							_lowerCamelCase					):
      lowerCamelCase_       	=		euclidean_distance_sqr(points[i]						,							points[j]					)
      if current_dis < min_dis:
        lowerCamelCase_       	=		current_dis
  return min_dis







def 	lowerCamelCase__			(				_lowerCamelCase			:						List[Any]						,							_lowerCamelCase			:						Any						,							_lowerCamelCase			:						int					) ->							List[str]:

  # base case
  if points_counts <= 3:
    return dis_between_closest_pair(_lowerCamelCase						,							_lowerCamelCase					)

  # recursion
  lowerCamelCase_       	=		points_counts // 2
  lowerCamelCase_       	=		closest_pair_of_points_sqr(
      _lowerCamelCase						,							points_sorted_on_y[:mid]						,							_lowerCamelCase					)
  lowerCamelCase_       	=		closest_pair_of_points_sqr(
      _lowerCamelCase						,							points_sorted_on_y[mid:]						,							points_counts - mid					)
  lowerCamelCase_       	=		min(_lowerCamelCase						,							_lowerCamelCase					)
  lowerCamelCase_       	=		[]
  for point in points_sorted_on_x:
    if abs(point[0] - points_sorted_on_x[mid][0]					) < closest_pair_dis:
      cross_strip.append(_lowerCamelCase					)

  lowerCamelCase_       	=		dis_between_closest_in_strip(
      _lowerCamelCase						,							len(_lowerCamelCase					)						,							_lowerCamelCase					)
  return min(_lowerCamelCase						,							_lowerCamelCase					)







def 	lowerCamelCase__			(				_lowerCamelCase			:						Tuple						,							_lowerCamelCase			:						Optional[int]					) ->							Optional[int]:
  lowerCamelCase_       	=		column_based_sort(_lowerCamelCase						,							column=0					)
  lowerCamelCase_       	=		column_based_sort(_lowerCamelCase						,							column=1					)
  return (
      closest_pair_of_points_sqr(
          _lowerCamelCase						,							_lowerCamelCase						,							_lowerCamelCase					)
  ) ** 0.5


if __name__ == "__main__":
  _SCREAMING_SNAKE_CASE   :							str          =		[(2, 3), (12, 30), (40, 50), (5, 1), (12, 10), (3, 4)]
  print('''Distance:''', closest_pair_of_points(points, len(points)))












"""simple docstring"""





from transformers import DistilBertTokenizer, DistilBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest






@require_tokenizers
class 	a		(   __snake_case						):
    SCREAMING_SNAKE_CASE		:	Optional[Any]		=					DistilBertTokenizer
    SCREAMING_SNAKE_CASE		:	Optional[Any]		=					DistilBertTokenizerFast
    SCREAMING_SNAKE_CASE		:	int		=					True






    @slow
    def   UpperCamelCase			(			self	:				Optional[int]   )	->						int:
      lowerCamelCase_       	=		DistilBertTokenizer.from_pretrained('distilbert-base-uncased'   )

      lowerCamelCase_       	=		tokenizer.encode('sequence builders'			,		add_special_tokens=__SCREAMING_SNAKE_CASE   )
      lowerCamelCase_       	=		tokenizer.encode('multi-sequence build'			,		add_special_tokens=__SCREAMING_SNAKE_CASE   )

      lowerCamelCase_       	=		tokenizer.build_inputs_with_special_tokens(__SCREAMING_SNAKE_CASE   )
      lowerCamelCase_       	=		tokenizer.build_inputs_with_special_tokens(__SCREAMING_SNAKE_CASE			,		__SCREAMING_SNAKE_CASE   )

      assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
      assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
          tokenizer.sep_token_id
      ]




